CN110136822A - A kind of community medicine intelligence management-control method of household wearable device - Google Patents
A kind of community medicine intelligence management-control method of household wearable device Download PDFInfo
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- CN110136822A CN110136822A CN201910278895.8A CN201910278895A CN110136822A CN 110136822 A CN110136822 A CN 110136822A CN 201910278895 A CN201910278895 A CN 201910278895A CN 110136822 A CN110136822 A CN 110136822A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
- G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
Abstract
The invention discloses a kind of community medicine intelligence management-control methods of household wearable device.The present invention acquires user health sign by household wearable device, healthy sign data is transferred to later and is deployed in the Data Analysis Platform of cloud server and analyzes, obtain the health status conclusion of user, it is sounded an alarm rapidly when emergency situation occurs for user, the user being abnormal is positioned by wearable device, carry out first aid or help is provided；It is that user's classification generates suggestion and article, and is pushed to user using recommender system if user is in normal condition.The shortcomings that present invention combines big data analysis with the tracking of user's individual data items, is that each user generates unique healthy self-portrait, avoids the personalized deficiency of push suggestion, the less pertinence of traditional health big data analysis；Wearable device is connected with Data Analysis Platform, is realized using community as the control and covering of the residents medical care health of separate units.
Description
Technical field
The present invention relates to electronic communication and intelligent medical fields, and in particular to a kind of community medicine of household wearable device
Intelligent management-control method.
Background technique
With socio-economic development and the improvement of people's living standards, market gradually increases the demand of health control,
And wearable device it is economical, portable, feature-rich due to it the advantages that, played in the health control of people's daily life compared with
Big effect, wearable device are normally manufactured as portable accessory, have part computing function, can with mobile phone and each Terminal Type into
Row connection realizes the functions such as heart rate monitoring, blood pressure measurement by the operations such as software support and data transmission, cloud interaction.This
Class product category is diversified and updates fastly, and the product form of mainstream includes the wrist equipment such as wrist-watch, bracelet, such as Apple
Watch smartwatch, Amazfit healthy bracelet etc.；The leg devices such as shoes, socks, such as GPS SmartSole intelligent navigation shoes,
Quell intelligence pain relief shoes etc.；And the head devices such as glasses, the helmet, headband, such as Google Glass intelligent glasses,
IBand+ sleep auxiliary head band etc..
In addition, intelligent medical science and technology exists since the sufferer number of elderly population sustainable growth and one-child family increases
The effect played in terms of health control is indispensable.How regular hospital high Gernral Check-up and sickness nursing expense are reduced,
Low cost, which reaches the monitoring of disease especially chronic disease and health purpose, becomes the big hot issue of one received significant attention.Base
In this status, have many advantages, such as that the community medicine that cost is relatively low, site is numerous gradually enters into the sight of people, and in population old-age group
Important role further is played to people's health management in change process and urbanization process.Community medicine is usually covered generally
Health care, belong to the scope of primary medical care, be the medical services based on crowd, by by common health care function
It can integrate, provide convenient for people and connect such as diagnosis and treatment, nursing, rehabilitation, health education, immunity inoculation, mother and child care
Continuous health service.For regularly simple physical examination, disease consulting, the treatment of chronic disease and disease of old people, and need house
The patient of front yard nursing is especially convenient.
Traditional community medicine due to medical monitoring device and terminal device shortage, be not easy to carry, collected health
The multi-sources of data, isomery and being difficult to interconnect between unification and each equipment and system platform function it is insufficient the disadvantages of, promote
Partially limited to application.With the arrival of big data era and the rapid development of wearable device, more and more may be used
Wearable device be used to detect various physiological signals, including electrocardiogram, blood pressure, blood oxygen saturation, respiratory rate of user etc., make
The abnormality detection based on these physiological signals is obtained to be possibly realized.It then, will by constructing unified Data Analysis Platform and standard
Confluence analysis is carried out after collected uploading health data, and obtains suggestion, feeds back to healthcare givers or user.By analyzing number
According to fluctuation pattern, the risk being likely to occur in terms of being able to detect that the current health status of user and future health, and
Before risk is formed, the improved suggestion of user is given, the risk of user's illness is reduced, abnormality detection technology is based on, may be implemented
To the long distance monitoring of chronic disease crowd and the elderly group.
In current intelligent medical field, the portable medical protection of wearable device and community is increasingly becoming by people
Concern and the hot spot promoted.International Organization for standardization proposes that coming 10 years, three main trend of electronic health care development are mobile strong
Health, personalized medicine and community medicine 2.0.The present invention describes a kind of based on household wearable device and Data Analysis Platform
The implementation and application mode of community medicine intelligence managing and control system, target group are community ordinarily residents, which passes through house first
Residents ' health sign is acquired with wearable device, then uploads to the confluence analysis that Data Analysis Platform carries out data, backmost
Classify to user and push Health & Fitness Tip or article, such as the prevention and treatment method of chronic disease, for the health care of Hypertensive Population
Article, dietary recommendation, exercise suggestion etc..
Existing technology has cloud medical treatment big data analysis technology (to come from paper A Big Data Analysis
Platform for Healthcare on Apache Spark), which simultaneously realizes one for health care
Big data analysis platform, using advanced distributed computing framework Apache Spark and data digging method to health care
Data are analyzed and generate result.
User-defined machine learning flow of work can be changed to by the big data analysis system that the technology is developed
Apache Spark task, workflow are made of different types of node, can be data source, pretreating tool, machine learning
Model and assessment tool.In addition, a cache policy is devised in system, with the intermediate knot calculated before use as much as possible
Fruit, so that analytic process is faster, the consumption of hardware resource is lower.For each node of user-defined workflow, according to packet
The node content calculating Hash codes including node input and node parameter are included, when submitting data analysis task, if intermediate knot
The Hash codes for the node that fruit is relied on and the respective nodes of new task are identical, then system can be used by previous tasks calculating
Between as a result, with raising efficiency.
During carrying out data analysis, the system uses include decision-tree model, Logic Regression Models and simplicity
Machine learning method including Bayesian model efficiently analyzes Health care data, can support in actual use
Health care data amount comprising 45000 data item, 43 dimensions.
The shortcomings that this method, is:
First, the basis of big data analysis is the sufficient degree of data volume, when the Efficient Characterization number for being directed to a certain illness
When according to measuring less, the accuracy rate of the analysis result of such illness can be declined.
Second, for medical field since individual differences are larger, the conclusion for directly obtaining big data analysis is applied to individual
There are certain risks with health control for treatment, and relatively, efficiently and accurately individual health management needs platform to provide personalized
Medical services and suggestion, i.e., analyzed based on personal data variation trend.General formula is obtained by big data analysis,
Illness is matched by the research of individual data items again, show that best suggestion, this medical consultations mode are more rationally reliable.Especially exist
In terms of the data collection and analysis of chronic disease control, after continuous wearable device acquires user's individual index for a long time,
For each user generate portion only belong to oneself, targeted healthy self-portrait, compared to being directed to entire chronic disease group
Such as the same suggestion effect of diabetes patient's push is more preferable, and helps to explore the optimum treatment scheme for individual.
Summary of the invention
The purpose of the present invention is overcoming the shortcomings of existing methods, a kind of community medicine intelligence of household wearable device is proposed
It can management-control method.There are two problems solved by the invention is main: first is that existing cloud platform big data analysis technology is personalized
The problem of deficiency, less pertinence；Second is that being provided just by being combined with the concept of community medicine wearable device for user
Prompt health control, and facilitate medical staff provide more comprehensively, more timely, more targeted Health Care Services.
To solve the above-mentioned problems, the invention proposes a kind of community medicine of household wearable device intelligence control sides
Method, which comprises
Community resident's wearing has the function of healthy sign acquisition and can be with the household wearable device of networking transport data；
Household wearable device by its built-in sensors acquire resident healthy sign, including heart rate, blood pressure, blood glucose,
The basic physiologicals index such as body temperature, blood oxygen saturation, respiratory rate, electrocardiogram；
Household wearable device is attached by its built-in wireless chip with smart phone, its collected resident is good for
Health sign data is transferred in the Data Analysis Platform for being deployed in cloud server；
Data Analysis Platform analyzes the residents ' health sign data of acquisition, obtains the health status knot of each user
By；
After Data Analysis Platform obtains the conclusion of user health situation, judge whether user may occur critical condition,
User occurs to sound an alarm rapidly when emergency situation, positions the user being abnormal by wearable device, and pass through system report
Alert connection community doctors and nurses intervention, carries out first aid or provides help；
After Data Analysis Platform obtains the conclusion of user health situation, if judging, user is in normal condition, using pushing away
Recommending system is that user's classification generates suggestion and article, and is pushed to the household wearable device or smart phone of user.
A kind of community medicine intelligence management-control method of household wearable device proposed by the present invention by big data analysis and is used
Individual data items tracking in family combines, and generates unique healthy self-portrait for each user, avoids traditional health big data
The shortcomings that personalized deficiency, less pertinence, is suggested in the push of analysis；Wearable device is connected with Data Analysis Platform, it is real
Show using community as the control and covering of the residents medical care health of separate units.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the community medicine intelligence management-control method flow chart of the household wearable device of the embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Fig. 1 is the community medicine intelligence management-control method flow chart of the household wearable device of the embodiment of the present invention, such as Fig. 1 institute
Show, this method comprises:
S1, community resident, which wears, has the function of that healthy sign is acquired and can be set so that the household of networking transport data is wearable
It is standby；
S2, household wearable device acquire the healthy sign of resident, including heart rate, blood pressure, blood by its built-in sensors
The basic physiologicals index such as sugar, body temperature, blood oxygen saturation, respiratory rate, electrocardiogram；
S3, household wearable device are attached by its built-in wireless chip with smart phone, by its collected residence
People's health sign data is transferred in the Data Analysis Platform for being deployed in cloud server；
S4, Data Analysis Platform analyze the residents ' health sign data of acquisition, obtain the healthy shape of each user
Condition conclusion；
S5 after Data Analysis Platform obtains the conclusion of user health situation, judges whether user may occur critical condition,
It is sounded an alarm rapidly when emergency situation occurs for user, the user being abnormal is positioned by wearable device, and pass through system
Alarm connection community doctors and nurses intervention, carries out first aid or provides help；
S6, after Data Analysis Platform obtains the conclusion of user health situation, if judging, user is in normal condition, utilizes
Recommender system is that user's classification generates suggestion and article, and is pushed to the household wearable device or smart phone of user.
Step S1, specific as follows:
Community resident wear have the function of healthy sign acquire and can with the household wearable device of networking transport data,
Such as common bracelet, wrist strap, sphygmomanometer, blood glucose meter, and for the injection of insulin patch of specific crowd design, Google's stealth eye
Mirror etc..
Step S2, specific as follows:
Household wearable device by its built-in sensors acquire resident healthy sign, including heart rate, blood pressure, blood glucose,
The basic physiologicals index such as body temperature, blood oxygen saturation, respiratory rate, electrocardiogram.
Step S4, specific as follows:
S4-1 judges the health status of user using big data analysis technology, user is divided into belong to healthy population or
Crowd with certain specified disease.During carrying out data analysis, by the number to belong to a different category in database
Learnt according to object, the difference between the identical point and different classes of object between same class object, building classification mould can be found
Type realizes the diagnosis of health status and the discovery of unusual condition so that user to be divided into specified classification.Applied to medical big number
Sorting algorithm according to field includes supporting vector machine model, neural network, decision-tree model, hidden Markov model, Bayes
The methods of network.Its core process is to establish disaggregated model with the method for machine learning, passes through the training set number with mark
According to Optimized model parameter, then by object input model to be sorted, sorted out according to its different classes of calculated scoring, from
And obtain the health status of user.In addition can also be used the methods of clustering algorithm or association rule mining, purpose be to
The health status at family makes basic judgement.
S4-2 obtains accurate conclusion according to the analysis to user's individual data items, generates user health self-portrait, and judgement is
It is no that there are emergency situations.Due to emergency situation detection mode be usually note abnormalities in continuous time series data sequence when
Sequence pattern, and for different individuals, the standard of physiological signal exception may difference, therefore rely only on big data
Analysis can not obtain accurately as a result, it is desirable to carry out abnormality detection and judge using user's history data as benchmark.In addition, passing through
It can be total with associated rule discovery scheduling algorithm to the comprehensive analysis of medical treatment & health big data and user's history data in database
It bears pathogenic factor, and assesses the potential risk of user according to the practical physiological data of user, reminded in advance with reaching
Purpose.
S4-3, after carrying out comprehensive analysis to medical treatment & health big data in database and user's individual physiological data, with electronics
The result that data are analyzed is stored in community medicine system by the form of archives, establishes community resident's personal health condition archives note
Record, past health status and its dynamic change are browsed convenient for user at any time, and medical staff can also be strong to the community resident of preservation
Health archives are checked and are managed, to understand basic condition and distinguish the crowd for needing to pay close attention to.
Step S5, specific as follows:
S5-1 when the analysis to user health sign data has emergency situation to be likely to occur as the result is shown, such as is detected
It rises sharply to certain old age user's blood pressure, it is contemplated that the critical symptom such as apoplexy, cerebral hemorrhage is likely to occur, first by wearable device to hair
Raw abnormal user positions.
S5-2, it would be possible to occur the user of emergency situation location information and its current physiology health status, appearance it is different
The information such as normal are transmitted to community intelligent medical treatment managing and control system, and system, which sounds an alarm, reminds medical staff's intervention, carry out first aid or mention
For helping.
Step S6, specific as follows:
S6-1 for the treatment and health article of chronic cases such as hypertension, diabetic population push related disease, and is provided
Prevention and treatment of complication suggestion, dietary recommendation etc..
S6-2 provides diet suggestion for elderly population, and the prevention and treatment points for attention of common infirmities of age are taken exercise and paid attention to
Item etc..
S6-3 provides treatment recommendations for the crowd of the specified disease that detects or exception, for example, interim low blood pressure, low
The user of blood glucose provides diet and reminds, and is that the excessively high user of heart rate pushes rest guide, for certain index item exceptions, suspects have
The possible crowd of illness suggests medical, progress detailed inspection etc..
S6-4, for index item, crowd temporarily without exception but with potential risk, provides Disease Warning Mechanism, and regard feelings
Condition judges whether that hospital admission is removed in suggestion.
S6-5 can push dietary recommendation, health care article, daily exercise guide of this season etc. for healthy population, so as to
The health status at family is maintained.
S6-6 will suggest built-in application program, the household wearable device such as smartwatch that can independently network etc.
It pushes to equipment with article to show, the equipment for sphygmomanometer, blood glucose meter etc. being transmitted using smart phone as middleware data, it will
It is recommended that pushing to smart phone with article.
The community medicine intelligence management-control method for a kind of household wearable device that the embodiment of the present invention proposes, by big data point
Analysis is combined with the tracking of user's individual data items, is generated unique healthy self-portrait for each user, is avoided traditional health
The shortcomings that personalized deficiency, less pertinence, is suggested in the push of big data analysis；By wearable device and Data Analysis Platform phase
Connection, realizes using community as the control and covering of the residents medical care health of separate units.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of above-described embodiment is can
It is completed with instructing relevant hardware by program, which can be stored in a computer readable storage medium, storage
Medium may include: read-only memory (ROM, Read Only Memory), random access memory (RAM, Random
Access Memory), disk or CD etc..
In addition, being provided for the embodiments of the invention a kind of community medicine intelligence control side of household wearable device above
Method, used herein a specific example illustrates the principle and implementation of the invention, and the explanation of above embodiments is only
It is to be used to help understand method and its core concept of the invention；At the same time, for those skilled in the art, according to this hair
Bright thought, there will be changes in the specific implementation manner and application range, in conclusion the content of the present specification should not manage
Solution is limitation of the present invention.
Claims (1)
1. a kind of community medicine intelligence management-control method of household wearable device, which is characterized in that the described method includes:
Community resident's wearing has the function of healthy sign acquisition and can be with the household wearable device of networking transport data；
Household wearable device by its built-in sensors acquire resident healthy sign, including heart rate, blood pressure, blood glucose, body temperature,
The basic physiologicals index such as blood oxygen saturation, respiratory rate, electrocardiogram；
Household wearable device is attached by its built-in wireless chip with smart phone, by its collected residents ' health body
Sign data are transferred in the Data Analysis Platform for being deployed in cloud server；
Data Analysis Platform analyzes the residents ' health sign data of acquisition, obtains the health status conclusion of each user；
After Data Analysis Platform obtains the conclusion of user health situation, judge whether user may occur critical condition, in user
Occur to sound an alarm rapidly when emergency situation, the user being abnormal is positioned by wearable device, and join by system alarm
It is community doctors and nurses intervention, carries out first aid or help is provided；
After Data Analysis Platform obtains the conclusion of user health situation, if judging, user is in normal condition, utilizes recommendation system
System is that user's classification generates suggestion and article, and is pushed to the household wearable device or smart phone of user.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111063437A (en) * | 2019-12-12 | 2020-04-24 | 中科海微(北京)科技有限公司 | Personalized chronic disease analysis system |
| CN111540471A (en) * | 2020-05-12 | 2020-08-14 | 西安交通大学医学院第一附属医院 | Health state tracking and early warning method and system based on user health data |
| CN111768828A (en) * | 2020-09-03 | 2020-10-13 | 成都索贝数码科技股份有限公司 | Patient sign portrait construction system and method based on data inside and outside hospital |
| WO2022134913A1 (en) * | 2020-12-22 | 2022-06-30 | International Business Machines Corporation | Multi-sensor platform for health monitoring |
| CN116631598A (en) * | 2023-07-24 | 2023-08-22 | 云天智能信息(深圳)有限公司 | Intelligent control method, system and storage medium for medical wearable equipment |
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| CN111540471B (en) * | 2020-05-12 | 2024-01-26 | 西安交通大学医学院第一附属医院 | Health state tracking and early warning method and system based on user health data |
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| CN116631598A (en) * | 2023-07-24 | 2023-08-22 | 云天智能信息(深圳)有限公司 | Intelligent control method, system and storage medium for medical wearable equipment |
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| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190816 |